positions (clothing)
literal strings: Positions, positions
categories
NELL has only weak evidence for items listed in grey
- clothing
- SEAL @634 (51.2%) on 13-sep-2012 [ 1 ] using positions
relations
NELL has only weak evidence for items listed in grey
- controlledbyagent
- state (city)
- CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 and local public safety arg2" "arg1 chief executive arg2" "arg1 and federal elected arg2" "arg1 or federal governmental arg2" "arg1 and local law enforcement arg2" "arg1 or federal regulatory arg2" "arg1 and national elected arg2" "arg1 and federal law enforcement arg2" "arg1 and federal governmental arg2" ] using (state, positions)
- state (person)
- CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 and local public safety arg2" "arg1 chief executive arg2" "arg1 and federal elected arg2" "arg1 or federal governmental arg2" "arg1 and local law enforcement arg2" "arg1 or federal regulatory arg2" "arg1 and national elected arg2" "arg1 and federal law enforcement arg2" "arg1 and federal governmental arg2" ] using (state, positions)
- crimeorchargeofperson
- arthur
- CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 Zimmerman for arg2" ] using (arthur, positions)
- currencycountry
- __america
- CPL @1097 (75.0%) on 19-jan-2018 [ "arg2 with the Bank of arg1" "arg2 in the Bank of arg1" ] using (america, positions)
- economicsectorcompany
- sony (biotechcompany)
- CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 is the largest manufacturer of arg2" ] using (sony_corporation, positions)
- equipmentusedbysport
- golf
- soccer
- CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 ball on arg2" "arg1 players wear arg2" ] using (soccer, positions)
- geopoliticallocationcontainsstate
- states (stateorprovince)
- CPL @1096 (87.5%) on 18-jan-2018 [ "arg2 with clients across the United arg1" "arg2 and the United arg1" "arg2 and moved to the United arg1" ] using (states, positions)
- inverseofanimaleatfood
- duck
- CPL @1097 (50.0%) on 19-jan-2018 [ "arg1 or goose arg2" ] using (duck, positions)
- inverseofhobbiessuchashobbies
- hobbies
- CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 and interests including arg2" "arg1 and interests such as arg2" ] using (hobbies, positions)
- inverseofprofessionactsatthesameareaofpoliticissue
- teacher
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg2 as an elementary classroom arg1" ] using (teacher, positions)
- inverseofprofessionssuchasprofessions
- professions
- CPL @1103 (75.0%) on 06-mar-2018 [ "arg2 in business and other arg1" "arg2 in the helping arg1" ] using (professions, positions)
- locationactedinbyagent
- national (company)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 Library of Australia in arg2" ] using (national, positions)
- professiontypehasprofession
- nurses
- CPL @1097 (93.8%) on 19-jan-2018 [ "arg1 and allied healthcare arg2" "arg1 and allied health arg2" "arg1 and other nursing arg2" "arg1 and other healthcare arg2" ] using (nurses, positions)
- officer
- CPL @1105 (87.5%) on 25-mar-2018 [ "arg1 and four support arg2" "arg1 or staff arg2" "arg1 and senior administrative arg2" ] using (officer, positions)
- physician
- CPL @1114 (75.0%) on 18-aug-2018 [ "arg1 and nurse arg2" "arg1 and two nurse arg2" ] using (physician, positions)
- education
- CPL @1113 (75.0%) on 03-aug-2018 [ "arg1 and student affairs arg2" "arg1 and student services arg2" ] using (education, positions)
- faculty
- nursing
- CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 and other healthcare arg2" "arg1 or other healthcare arg2" "arg1 and allied health arg2" "arg1 or other allied health arg2" "arg1 and direct care arg2" "arg1 and allied health care arg2" "arg1 and other health care arg2" ] using (nursing, positions)
- OE @892 (100.0%) on 26-dec-2014 [ http://www.bls.gov/ooh/healthcare/registered-nurses.htm ] using (nursing, positions)
- research
- CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 and senior administrative arg2" "arg1 and direct care arg2" "arg1 or staff arg2" ] using (research, positions)
- support
- CPL @1100 (87.5%) on 31-jan-2018 [ "arg1 and instructional support arg2" "arg1 and skilled arg2" "arg1 or staff arg2" ] using (support, positions)
- workers
- CPL @1112 (75.0%) on 20-jul-2018 [ "arg2 include skilled arg1" "arg2 and skilled arg1" ] using (workers, positions)
- shapeofobject
- triangle
- CPL @1112 (75.0%) on 20-jul-2018 [ "arg2 on an equilateral arg1" "arg2 in an equilateral arg1" ] using (triangle, positions)
- sportsteampositionforsport
- athletics
- CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 in college arg1" ] using (athletics, positions)
- baseball
- CPL @1103 (87.5%) on 06-mar-2018 [ "arg2 in minor league arg1" "arg2 in major league arg1" "arg2 in fantasy arg1" ] using (baseball, positions)
- basketball
- CPL @1103 (93.8%) on 06-mar-2018 [ "arg2 in Canadian university arg1" "arg2 in college arg1" "arg2 in minor league arg1" "arg2 in fantasy arg1" ] using (basketball, positions)
- team
- CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 players and arg2" "arg1 players and their arg2" ] using (team, positions)
- agentcompeteswithagent
- section
- CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 The neutrality of arg2" "arg1 This article or arg2" ] using (positions, section)
- CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 The neutrality of arg2" "arg1 This article or arg2" ] using (section, positions)
- colorofobject
- home
- CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 begin to change arg2" ] using (home, positions)
- controlledbyagent
- state (location)
- CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 and local public safety arg2" "arg1 chief executive arg2" "arg1 and federal elected arg2" "arg1 or federal governmental arg2" "arg1 and local law enforcement arg2" "arg1 or federal regulatory arg2" "arg1 and national elected arg2" "arg1 and federal law enforcement arg2" "arg1 and federal governmental arg2" ] using (state, positions)
- state001
- CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 and local public safety arg2" "arg1 chief executive arg2" "arg1 and federal elected arg2" "arg1 or federal governmental arg2" "arg1 and local law enforcement arg2" "arg1 or federal regulatory arg2" "arg1 and national elected arg2" "arg1 and federal law enforcement arg2" "arg1 and federal governmental arg2" ] using (state, positions)
- state (terroristorganization)
- CPL @1103 (99.8%) on 06-mar-2018 [ "arg1 and local public safety arg2" "arg1 chief executive arg2" "arg1 and federal elected arg2" "arg1 or federal governmental arg2" "arg1 and local law enforcement arg2" "arg1 or federal regulatory arg2" "arg1 and national elected arg2" "arg1 and federal law enforcement arg2" "arg1 and federal governmental arg2" ] using (state, positions)
- createdbyagent
- form (geopoliticallocation)
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 a nomination arg1" "arg2 page after submitting arg1" ] using (form, positions)
- form (personmexico)
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 a nomination arg1" "arg2 page after submitting arg1" ] using (form, positions)
- adobe
- CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 Photoshop and arg2" ] using (adobe, positions)
- currencycountry
- bermuda
- CPL @1097 (50.0%) on 19-jan-2018 [ "arg2 with the Bank of arg1" ] using (bermuda, positions)
- economicsectorcompany
- sony (company)
- CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 is the largest manufacturer of arg2" ] using (sony_corporation, positions)
- isshorterthan
- life
- CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 from all walks of arg1" "arg2 from different walks of arg1" ] using (life, positions)
- london
- CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 in Paris and arg1" "arg2 in New York and arg1" ] using (london, positions)
- washington
- CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 in New York and arg1" "arg2 in New York City and arg1" ] using (washington, positions)
- locationactedinbyagent
- national (university)
- CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 Library of Australia in arg2" ] using (national, positions)
- proxyof
- states (agent)
- CPL @1116 (50.0%) on 06-sep-2018 [ "arg2 Mexico and the United arg1" ] using (states, positions)